A package for visualizing covid-19's vaccinations and infected people of each countries
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<article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-covidcasev" class="anchor" aria-hidden="true" href="#covidcasev"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>covidcasev</h1>
The goal of this project is to visualize the number of infected people by country due to Covid-19.
Using a OWID dataset, covidcasev can visualize the number of infected people by country due to Covid-19.
The OWID dataset is downloadable from: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations
How to install covidcasev on Linux, MacOS, or WSL on Windows
$ pip install covidcasevHow to run covidcasev
$ covidcasev countryex. $ covidcasev Japan
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